DualAttention VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

This is an example of DualAttention VNet3D.(re)implemented the model with tensorflow framework in the paper of "Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu.(2019) Dual Attention Network for Scene Segmentation"

Prerequisities

The following dependencies are needed:

• numpy >= 1.11.1
• opencv-python >=3.3.0
• tensorflow-gpu ==1.8.0
• pandas >=0.20.1
• scikit-learn >= 0.17.1

How to Use

Preprocess

follow KiTS19——2019 Kidney Tumor Segmentation Challenge project

• Position Attention Model and Channel Attention Model

Prerequisities

DANet: Dual Attention Network for Scene Segmentation (CVPR2019) can find from here:https://github.com/junfu1115/DANet

Result

1、Kidney Segmentation

• the train loss

• 200-209case dice value and result

Contact

• https://github.com/junqiangchen
• email: [email protected]
• Contact: junqiangChen
• WeChat Number: 1207173174
• WeChat Public number: 最新医学影像技术